Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "202"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 202 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 69 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 67 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 202, Node N18:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459885 digital_ok 100.00% 0.00% 0.00% 0.00% - - 2.948237 5.044939 25.382691 2.590964 3.060734 5.457879 8.612877 1.931348 0.7132 0.6777 0.3531 nan nan
2459884 digital_ok 0.00% 0.00% 0.00% 0.00% - - 0.440818 1.724953 1.015590 -0.756645 -1.421510 -1.018239 -0.647728 2.571610 0.6791 0.6382 0.3907 nan nan
2459883 digital_ok 100.00% 0.00% 0.00% 0.00% - - 2.433567 4.028905 22.553273 2.609670 0.738301 2.906413 0.404387 7.314382 0.6711 0.6411 0.3787 nan nan
2459882 digital_ok 100.00% 0.00% 0.00% 0.00% - - 4.148112 7.340719 26.025201 1.778353 1.277629 3.683174 2.671727 3.575451 0.6727 0.6309 0.3879 nan nan
2459881 digital_ok 100.00% 0.00% 0.00% 0.00% - - 2.339313 3.887509 29.298138 2.542931 2.874077 6.696105 6.713796 9.182679 0.7181 0.6940 0.3250 nan nan
2459880 digital_ok 100.00% 0.00% 0.00% 0.00% - - 2.595438 4.653529 23.478140 2.362027 0.821397 3.034405 1.860698 3.214985 0.6714 0.6406 0.3896 nan nan
2459879 digital_ok 0.00% 0.00% 0.00% 0.00% - - -0.296490 1.328064 -1.420521 -0.439292 -1.884859 -1.229173 -0.332487 3.742495 0.6630 0.6416 0.3993 nan nan
2459878 digital_ok 100.00% 0.00% 0.00% 0.00% - - 2.670896 4.266276 28.888146 3.539730 2.289396 4.205322 1.460618 8.934627 0.6681 0.6472 0.3932 nan nan
2459876 digital_ok 100.00% 0.00% 0.00% 0.00% - - 2.732952 4.631873 19.973902 1.698648 5.437161 8.865618 2.747783 5.645961 0.6893 0.6352 0.3893 nan nan
2459875 digital_ok 100.00% 0.00% 0.00% 0.00% - - 2.345839 4.644842 27.694691 2.580522 1.062350 5.991236 1.248544 4.141918 0.6928 0.6596 0.3933 nan nan
2459874 RF_ok 100.00% 0.00% 0.00% 0.00% - - 4.026595 6.973323 14.205560 0.804627 2.770252 6.052008 2.258615 6.661194 0.6865 0.6289 0.3881 nan nan
2459873 RF_ok 100.00% 0.00% 0.00% 0.00% - - 2.756907 5.678482 19.041945 0.925218 0.436284 3.633705 1.591487 2.808102 0.6869 0.6157 0.3945 nan nan
2459872 RF_ok 100.00% 0.00% 0.00% 0.00% - - 2.247662 4.894672 25.535166 2.025448 2.037701 8.455494 4.144539 5.439813 0.6820 0.6162 0.4037 nan nan
2459871 RF_ok 100.00% 0.00% 0.00% 0.00% - - 1.719369 3.609739 25.845922 2.424411 2.521464 5.919777 0.710528 1.623286 0.6911 0.6266 0.3954 nan nan
2459870 RF_ok 100.00% 0.00% 0.00% 0.00% - - 3.428729 6.193034 19.092110 1.682652 1.442834 5.670721 1.789146 6.999184 0.6985 0.6379 0.3885 nan nan
2459869 RF_ok 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459868 RF_ok 100.00% 0.00% 0.00% 0.00% - - 3.181216 6.149819 29.369944 2.153864 -0.025493 4.729124 2.714894 8.242498 0.6874 0.6242 0.4025 nan nan
2459867 RF_ok 100.00% 0.00% 0.00% 0.00% - - 1.889680 4.256606 23.773410 1.421314 0.530081 3.845186 2.049053 5.902532 0.6993 0.6312 0.4050 nan nan
2459866 RF_ok 100.00% 0.00% 0.00% 0.00% - - 2.275584 4.894793 22.115013 1.340330 1.025273 4.119896 0.139991 1.656152 0.6983 0.6325 0.3988 nan nan
2459865 RF_ok 100.00% 0.00% 0.00% 0.00% - - 3.338863 8.300885 28.664946 0.132800 1.612036 8.013256 9.051371 3.926771 0.7112 0.6328 0.3877 nan nan
2459864 RF_ok 100.00% 0.00% 0.00% 0.00% - - 2.481912 9.815451 14.596239 -0.938582 0.830598 5.249242 5.822362 8.486719 0.6952 0.5950 0.4347 nan nan
2459863 RF_ok 100.00% 0.00% 0.00% 0.00% - - 0.335954 5.315337 1.017735 -0.193064 -0.877454 1.098480 2.817779 3.769252 0.6940 0.5892 0.4234 nan nan
2459862 RF_ok 100.00% 0.00% 0.00% 0.00% - - 1.046426 5.668984 17.915201 -0.934200 1.118182 6.153060 0.504463 1.735106 0.6635 0.6016 0.4479 nan nan
2459861 RF_ok 0.00% 0.00% 0.00% 0.00% - - -0.094983 3.059064 -0.092152 0.022234 -1.683138 -1.537604 1.398799 3.516335 0.7043 0.5966 0.4400 nan nan
2459860 RF_ok 100.00% 0.00% 0.00% 0.00% - - 0.773257 3.212274 13.786352 -0.644779 1.838469 6.269693 0.210562 2.531490 0.7118 0.6094 0.4293 nan nan
2459859 RF_ok 0.00% 0.00% 0.00% 0.00% - - -0.157743 2.416901 -0.012670 -0.082706 -1.194650 -2.018342 -0.958792 1.235192 0.7173 0.6199 0.4219 nan nan
2459858 RF_ok 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% -0.289751 2.628952 -0.476425 -0.162071 -1.386151 -1.706619 -0.594020 2.774215 0.7249 0.6173 0.4398 3.188876 2.315565
2459857 RF_ok 0.00% 100.00% 100.00% 0.00% - - 1.602377 3.829345 2.118936 0.994807 -0.702220 -0.972187 -1.468589 0.563497 0.0550 0.0729 0.0319 nan nan
2459856 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.731893 4.554758 12.731844 -0.086617 0.228390 4.075366 -1.110792 2.849848 0.7170 0.6368 0.4169 2.753766 2.113220
2459855 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.244650 5.586998 14.245567 -0.209822 -0.646162 2.163576 -0.596105 1.287259 0.7039 0.6521 0.4419 3.060249 2.223333
2459854 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.978161 5.834352 12.080987 -0.349467 -0.258225 1.104773 0.232669 3.467755 0.7180 0.6671 0.4552 3.253567 2.104910
2459853 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.760386 5.235682 15.713652 -0.463797 0.219037 4.281642 -0.277596 4.053221 0.7428 0.6145 0.4494 3.237151 2.262248
2459852 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.464513 6.503931 15.389183 -0.395203 6.245688 6.932660 10.836789 1.884219 0.8123 0.7741 0.2753 4.900761 3.525049
2459851 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459850 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.702104 6.299247 14.752203 -0.361309 1.223387 5.799795 0.773181 6.372439 0.7451 0.6868 0.3705 3.183152 2.198433
2459849 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.172374 5.421484 29.430758 0.556598 0.288192 4.523032 0.150675 3.742782 0.7426 0.6839 0.3737 4.128752 2.628653
2459848 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.379029 4.534911 21.431150 2.450968 1.943494 5.614629 -0.597324 3.359279 0.7227 0.6935 0.3873 3.506185 2.555141
2459847 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.377013 5.083803 20.348885 2.003994 2.766750 4.946734 0.091037 1.933531 0.7277 0.6145 0.4511 5.953536 3.553925
2459841 RF_ok 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 202: 2459885

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok ee Power 25.382691 5.044939 2.948237 2.590964 25.382691 5.457879 3.060734 1.931348 8.612877

Antenna 202: 2459884

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 2.571610 1.724953 0.440818 -0.756645 1.015590 -1.018239 -1.421510 2.571610 -0.647728

Antenna 202: 2459883

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok ee Power 22.553273 4.028905 2.433567 2.609670 22.553273 2.906413 0.738301 7.314382 0.404387

Antenna 202: 2459882

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok ee Power 26.025201 7.340719 4.148112 1.778353 26.025201 3.683174 1.277629 3.575451 2.671727

Antenna 202: 2459881

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok ee Power 29.298138 3.887509 2.339313 2.542931 29.298138 6.696105 2.874077 9.182679 6.713796

Antenna 202: 2459880

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok ee Power 23.478140 4.653529 2.595438 2.362027 23.478140 3.034405 0.821397 3.214985 1.860698

Antenna 202: 2459879

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok nn Temporal Discontinuties 3.742495 1.328064 -0.296490 -0.439292 -1.420521 -1.229173 -1.884859 3.742495 -0.332487

Antenna 202: 2459878

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 digital_ok ee Power 28.888146 4.266276 2.670896 3.539730 28.888146 4.205322 2.289396 8.934627 1.460618

Antenna 202: 2459876

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok ee Power 19.973902 2.732952 4.631873 19.973902 1.698648 5.437161 8.865618 2.747783 5.645961

Antenna 202: 2459875

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 digital_ok ee Power 27.694691 2.345839 4.644842 27.694691 2.580522 1.062350 5.991236 1.248544 4.141918

Antenna 202: 2459874

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 14.205560 4.026595 6.973323 14.205560 0.804627 2.770252 6.052008 2.258615 6.661194

Antenna 202: 2459873

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 19.041945 2.756907 5.678482 19.041945 0.925218 0.436284 3.633705 1.591487 2.808102

Antenna 202: 2459872

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 25.535166 4.894672 2.247662 2.025448 25.535166 8.455494 2.037701 5.439813 4.144539

Antenna 202: 2459871

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 25.845922 3.609739 1.719369 2.424411 25.845922 5.919777 2.521464 1.623286 0.710528

Antenna 202: 2459870

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 19.092110 3.428729 6.193034 19.092110 1.682652 1.442834 5.670721 1.789146 6.999184

Antenna 202: 2459869

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 202: 2459868

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 29.369944 3.181216 6.149819 29.369944 2.153864 -0.025493 4.729124 2.714894 8.242498

Antenna 202: 2459867

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 23.773410 1.889680 4.256606 23.773410 1.421314 0.530081 3.845186 2.049053 5.902532

Antenna 202: 2459866

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 22.115013 4.894793 2.275584 1.340330 22.115013 4.119896 1.025273 1.656152 0.139991

Antenna 202: 2459865

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 28.664946 3.338863 8.300885 28.664946 0.132800 1.612036 8.013256 9.051371 3.926771

Antenna 202: 2459864

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 14.596239 9.815451 2.481912 -0.938582 14.596239 5.249242 0.830598 8.486719 5.822362

Antenna 202: 2459863

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 RF_ok nn Shape 5.315337 0.335954 5.315337 1.017735 -0.193064 -0.877454 1.098480 2.817779 3.769252

Antenna 202: 2459862

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 17.915201 1.046426 5.668984 17.915201 -0.934200 1.118182 6.153060 0.504463 1.735106

Antenna 202: 2459861

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 RF_ok nn Temporal Discontinuties 3.516335 3.059064 -0.094983 0.022234 -0.092152 -1.537604 -1.683138 3.516335 1.398799

Antenna 202: 2459860

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 13.786352 0.773257 3.212274 13.786352 -0.644779 1.838469 6.269693 0.210562 2.531490

Antenna 202: 2459859

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 RF_ok nn Shape 2.416901 -0.157743 2.416901 -0.012670 -0.082706 -1.194650 -2.018342 -0.958792 1.235192

Antenna 202: 2459858

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 RF_ok nn Temporal Discontinuties 2.774215 2.628952 -0.289751 -0.162071 -0.476425 -1.706619 -1.386151 2.774215 -0.594020

Antenna 202: 2459857

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 RF_ok nn Shape 3.829345 3.829345 1.602377 0.994807 2.118936 -0.972187 -0.702220 0.563497 -1.468589

Antenna 202: 2459856

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 12.731844 1.731893 4.554758 12.731844 -0.086617 0.228390 4.075366 -1.110792 2.849848

Antenna 202: 2459855

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 14.245567 5.586998 2.244650 -0.209822 14.245567 2.163576 -0.646162 1.287259 -0.596105

Antenna 202: 2459854

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 12.080987 5.834352 1.978161 -0.349467 12.080987 1.104773 -0.258225 3.467755 0.232669

Antenna 202: 2459853

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 15.713652 5.235682 1.760386 -0.463797 15.713652 4.281642 0.219037 4.053221 -0.277596

Antenna 202: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 15.389183 2.464513 6.503931 15.389183 -0.395203 6.245688 6.932660 10.836789 1.884219

Antenna 202: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 202: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 14.752203 1.702104 6.299247 14.752203 -0.361309 1.223387 5.799795 0.773181 6.372439

Antenna 202: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 29.430758 2.172374 5.421484 29.430758 0.556598 0.288192 4.523032 0.150675 3.742782

Antenna 202: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 21.431150 4.534911 2.379029 2.450968 21.431150 5.614629 1.943494 3.359279 -0.597324

Antenna 202: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Power 20.348885 5.083803 2.377013 2.003994 20.348885 4.946734 2.766750 1.933531 0.091037

Antenna 202: 2459841

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
202 N18 RF_ok ee Shape nan nan nan inf inf nan nan nan nan
In [ ]: